RSS-Feed abonnieren
DOI: 10.1055/s-0041-1733967
Evaluation of Automatic Directional Processing with Cochlear Implant Recipients
Autoren
Funding This project was supported by Grant Number T35DC008765-06A1 (recipient Soo Jang) from the National Institute on Deafness and Other Communication Disorders. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Deafness and Other Communication Disorders.
Abstract
Background For cochlear implant (CI) recipients, speech recognition in noise is consistently poorer compared with recognition in quiet. Directional processing improves performance in noise and can be automatically activated based on acoustic scene analysis. The use of adaptive directionality with CI recipients is new and has not been investigated thoroughly, especially utilizing the recipients' preferred everyday signal processing, dynamic range, and/or noise reduction.
Purpose This study utilized CI recipients' preferred everyday signal processing to evaluate four directional microphone options in a noisy environment to determine which option provides the best speech recognition in noise. A greater understanding of automatic directionality could ultimately improve CI recipients' speech-in-noise performance and better guide clinicians in programming.
Study Sample Twenty-six unilateral and seven bilateral CI recipients with a mean age of 66 years and approximately 4 years of CI experience were included.
Data Collection and Analysis Speech-in-noise performance was measured using eight loudspeakers in a 360-degree array with HINT sentences presented in restaurant noise. Four directional options were evaluated (automatic [SCAN], adaptive [Beam], fixed [Zoom], and Omni-directional) with participants' everyday use signal processing options active. A mixed-model analysis of variance (ANOVA) and pairwise comparisons were performed.
Results Automatic directionality (SCAN) resulted in the best speech-in-noise performance, although not significantly better than Beam. Omni-directional performance was significantly poorer compared with the three other directional options. A varied number of participants performed their best with each of the four-directional options, with 16 performing best with automatic directionality. The majority of participants did not perform best with their everyday directional option.
Conclusion The individual variability seen in this study suggests that CI recipients try with different directional options to find their ideal program. However, based on a CI recipient's motivation to try different programs, automatic directionality is an appropriate everyday processing option.
Note
Portions of this article were presented as a poster at the American Auditory Society in February 2016 at Scottsdale, Arizona, United States.
Publikationsverlauf
Eingereicht: 26. September 2020
Angenommen: 10. Mai 2021
Artikel online veröffentlicht:
29. Dezember 2021
© 2021. American Academy of Audiology. This article is published by Thieme.
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
-
References
- 1 Fetterman BL, Domico EH. Speech recognition in background noise of cochlear implant patients. Otolaryngol Head Neck Surg 2002; 126 (03) 257-263
- 2 Honeder C, Liepins R, Arnoldner C. et al. Fixed and adaptive beamforming improves speech perception in noise in cochlear implant recipients equipped with the MED-EL SONNET audio processor. PLoS One 2018; 13 (01) e0190718
- 3 Hersbach AA, Arora K, Mauger SJ, Dawson PW. Combining directional microphone and single-channel noise reduction algorithms: a clinical evaluation in difficult listening conditions with cochlear implant users. Ear Hear 2012; 33 (04) e13-e23
- 4 Cochlear Limited. Dual Omni-directional Microphone Technology. 2010. ;ISS1(N34480F): 10 Sydney, Australia: Cochlear Limited;
- 5 Patrick JF, Busby PA, Gibson PJ. The development of the Nucleus Freedom Cochlear implant system. Trends Amplif 2006; 10 (04) 175-200
- 6 Wouters J, Vanden Berghe J. Speech recognition in noise for cochlear implantees with a two-microphone monaural adaptive noise reduction system. Ear Hear 2001; 22 (05) 420-430
- 7 Wolfe J, Parkinson A, Schafer EC. et al. Benefit of a commercially available cochlear implant processor with dual-microphone beamforming: a multi-center study. Otol Neurotol 2012; 33 (04) 553-560
- 8 Brockmeyer AM, Potts LG. Evaluation of different signal processing options in unilateral and bilateral cochlear freedom implant recipients using R-Space background noise. J Am Acad Audiol 2011; 22 (02) 65-80
- 9 Nilsson M, Soli SD, Sullivan JA. Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise. J Acoust Soc Am 1994; 95 (02) 1085-1099
- 10 Gifford RH, Revit LJ. Speech perception for adult cochlear implant recipients in a realistic background noise: effectiveness of preprocessing strategies and external options for improving speech recognition in noise. J Am Acad Audiol 2010; 21 (07) 441-451 , quiz 487–488
- 11 Dawson PW, Mauger SJ, Hersbach AA. Clinical evaluation of signal-to-noise ratio-based noise reduction in Nucleus cochlear implant recipients. Ear Hear 2011; 32 (03) 382-390
- 12 Banerjee S. Hearing aids in the real world: use of multimemory and volume controls. J Am Acad Audiol 2011; 22 (06) 359-374
- 13 Ricketts T, Henry P. Evaluation of an adaptive, directional-microphone hearing aid. Int J Audiol 2002; 41 (02) 100-112
- 14 Wolfe J, Neumann S, Marsh M. et al. Benefits of adaptive signal processing in a commercially available cochlear implant sound processor. Otol Neurotol 2015; 36 (07) 1181-1190
- 15 Spahr AJ, Dorman MF, Litvak LM. et al. Development and validation of the AzBio sentence lists. Ear Hear 2012; 33 (01) 112-117
- 16 Mauger SJ, Warren CD, Knight MR, Goorevich M, Nel E. Clinical evaluation of the Nucleus 6 cochlear implant system: performance improvements with SmartSound iQ. Int J Audiol 2014; 53 (08) 564-576
- 17 De Ceulaer G, Pascoal D, Vanpoucke F, Govaerts PJ. The use of cochlear's SCAN and wireless microphones to improve speech understanding in noise with the Nucleus6® CP900 processor. Int J Audiol 2017; 56 (11) 837-843
- 18 Compton-Conley CL, Neuman AC, Killion MC, Levitt H. Performance of directional microphones for hearing aids: real-world versus simulation. J Am Acad Audiol 2004; 15 (06) 440-455
- 19 Peterson GE, Lehiste I. Revised CNC lists for auditory tests. J Speech Hear Disord 1962; 27: 62-70
- 20 Iacobucci D, Posavac SS, Kardes FR, Schneider MJ, Popovich DL. Toward a more nuanced understanding of the statistical properties of a median split. J Consum Psychol 2015; a; 25 (04) 652-665
- 21 Iacobucci D, Posavac SS, Kardes FR, Schneider MJ, Popovich DL. The median split: Robust, refined, and revived. J Consum Psychol 2015; b; 25 (04) 690-704
- 22 Potts LG, Kolb KA. Effect of different signal-processing options on speech-in-noise recognition for cochlear implant recipients with the cochlear CP810 speech processor. J Am Acad Audiol 2014; 25 (04) 367-379
- 23 de Graaff F, Lissenberg-Witte BI, Kaandorp MW. et al. Relationship between speech recognition in quiet and noise and fitting parameters, impedances and ECAP thresholds in adult cochlear implant users. Ear Hear 2020; 41 (04) 935-947
- 24 Tamati TN, Ray C, Vasil KJ, Pisoni DB, Moberly AC. High- and low-performing adult cochlear implant users on high-variability sentence recognition: differences in auditory spectral resolution and neurocognitive functioning. J Am Acad Audiol 2020; 31 (05) 324-335
- 25 Zhang M, Malysa C, Huettmeyer F, Piplica D, Schmidt B. Using the International Classification of Functioning model to gain new insight into the impact of cochlear implants on prelingually deafened recipients. J Speech Pathol Ther 2016; 1 (03) 117-123
- 26 Ernst A, Anton K, Brendel M, Battmer RD. Benefit of directional microphones for unilateral, bilateral and bimodal cochlear implant users. Cochlear Implants Int 2019; 20 (03) 147-157
